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Decentralized Coordinated Voltage control for VSC-HVDC Connected Wind Farms Based on ADMM

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY 2019年第2期10卷 800-810页

作者： Guo, Yifei Gao, Houlei Xing, Hao Wu, Qiuwei Lin, Zhongwei Shandong Univ Sch Elect Engn Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Shandong Peoples R China Hangzhou Dianzi Univ Sch Automat Hangzhou 310018 Zhejiang Peoples R China Tech Univ Denmark DTU Ctr Elect Power & Energy CEE Dept Elect Engn DK-2800 Lyngby Denmark Harvard Univ Harvard China Project Sch Engn & Appl Sci Cambridge MA 02138 USA North China Elect Power Univ State Key Lab Alternate Elect Power Syst Renewabl Sch Control & Comp Engn Beijing 102206 Peoples R China

This paper proposes a decentralized coordinated voltage control scheme (DCVCS) for voltage-source-converter high-voltage dc (VSC-HVdc) connected wind farms based on the Model Predictive control (MPC), which regulates the voltage profile across the wind farm network within the feasible range by optimally coordinating the VSC and wind turbines (WTs). First, the centralized optimal control problem based on the MPC is formulated to minimize voltage deviations and reactive power output fluctuations of WTs. Second, the decentralized solution methodology based on Alternating Direction Method of Multipliers (ADMM) with fast convergency is used to solve the MPC problem in a decentralized manner without lass of optimality of the primal problem. A wind farm with 64 WTs was used to validate the effectiveness and superiority of the proposed DCVCS.

关键词： Alternating direction method of multiplier (ADMM) decentralized control model predictive control (MPC) voltage control voltage-source-converter-based high voltage direct current (VSC-HVdc) wind farm

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Effective steady-state security regions of power systems considering voltage magnitude 4

Effective steady-state security regions of power systems con...

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4th International Conference on New Energy and Future Energy system (NEFES)

作者： Zhou, Y. Yang, X. L. Yang, M. Zhu, Y. Wang, C. Bo, Y. F. Du, P. J. Shandong Univ Minist Educ Key Lab Power Intelligent Dispatch & Control Jinan 250061 Peoples R China State Grid Shandong Elect Power Co Econ & Technol Res Inst Jinan 250021 Peoples R China State Grid Shandong Elect Power Co Pingdu Elect Power Bur Pingdu 266700 Peoples R China

With high-level variable renewable energy integrating into power systems, the uncertainty significant challenges to the real-time dispatch (RTD). Meanwhile, the influence of voltage magnitude and reactive power on RTD always were ignored. Based on effective steady-state security regions of power systems and linear power flow model, a real-time dispatching method considering voltage magnitude and reactive power is proposed in this paper. This model has two goals, one is the security goal, the other is the economic goal, and priority of security objectives is higher than economy. Unlike previous real-time dispatch methods, all of the operation base point, reactive power output and participation factors of automatic generation control (AGC) generators are chosen as decision variables in the model. In order to ensure computational efficiency, the model is finally transformed into a deterministic linear programming ( LP) problem by robust optimization and other methods. The accuracy and computational efficiency of the method are illustrated by modified IEEE 9-bus system and IEEE 118-bus system.

关键词： Computational efficiency

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Enabling wind farm to be black-start source by energy storage

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JOURNAL OF ENGINEERING-JOE 2019年第18期2019卷 5138-5141页

作者： Liu, Weipeng Liu, Yutian Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan Shandong Peoples R China

An energy storage system (ESS) sizing method is proposed to enable wind farm (WF) to be a black-start (BS) source. This method handles three challenges: firstly, ESS has enough power to help WF start up. Secondly, the WF together with ESS is modelled as a virtual synchronous generator (VSG), and its frequency regulation capability is considered when sizing ESS. Thirdly, the power and capacity of ESS are determined so that VSG can deliver the required power during black-start. Instead of using wind speed probability distribution, kernel density estimation is used in this paper to directly estimate the probability distribution characteristics of ESS sizing. Simulation results show that with minimum investment cost on ESS, WF is able to be BS source.

关键词： probability wind power plants frequency control energy storage synchronous generators power generation economics investment power system control power system reliability energy storage system sizing method black-start source virtual synchronous generator frequency regulation capability wind farm wind farm start up kernel density estimation probability distribution characteristics minimum investment cost

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Optimal allocation of black-start capability considering renewable energy penetration in AC-DC grid

Optimal allocation of black-start capability considering ren...

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2018 International Conference on Electronics Technology, ICET 2018

作者： Zhao, Jin Wang, Hongtao Liu, Yao Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781538657522

The categories of black start resources (BSR) have been extended in the modern smart grid with the penetration of renewable energies. On one hand, the distributed renewable energy resources (RES) and storage facilities give birth to an new kinds of black-start resource (BSR): RES hybrid unit. On the other hand, the flexible HVDC link in modern smart grid can be a valuable BSR provider. Considering the novel kinds of BSR, the optimal allocation problem is addressed in this paper. Firstly, the optimal black-start capability of a grid is determined through pursuing the highest society utility. Secondly, the utility theory is utilized to determine the optimal capacity of different kinds of BSRs. Furthermore, the problem of BSR siting is dealt with by applying the conception of electrical betweenness. Case studies present the effectiveness of the proposed method by the modified IEEE-9 and IEEE-30 bus testing system. © 2018 IEEE.

关键词： Renewable energy resources

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Optimization of generator starting scheme including multiple DC converter stations 2

Optimization of generator starting scheme including multiple...

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2nd IEEE International Conference on Energy Internet, ICEI 2018

作者： Lin, Chengqian Wang, Hongtao Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781538641316

With the energy supply and demand situation and the rapid development of HVDC transmission technologies in China, many multi-infeed HVDC systems (MIDC) have been formed in the East China and Central China, and it is necessary to take more than one HVDC lines into account to speed up the restoration process. Firstly, according to the operation characteristic of HVDC, a stability index is put forward to indicate the influence of converter station starting in MIDC restoration. Secondly, a model for generator starting in MIDC is presented. In this model, the optimization objective is to maximize system efficiency and stability during the restoration period. Constraints such as start-up constraints of DC converter station and conventional units, power flow constraint are also concerned. The fast and elitist nondominated sorting genetic algorithm (NSGA-II) and MTOPSIS method are adapted to solve the optimization problem. The effectiveness of the proposed method is validated by New England system. © 2018 IEEE.

关键词： Electric load flow

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Blackout risk assessment of cascading outages considering wind power uncertainty 2

Blackout risk assessment of cascading outages considering wi...

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2nd IEEE International Conference on Energy Internet, ICEI 2018

作者： Xu, Di Wang, Hongtao Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781538641316

Higher penetration of wind power generation will introduce an unprecedented amount of uncertainty into power grid that might affect the risk assessment of cascading failures. To reflect the impact of wind power uncertainty, this paper proposes a model of cascading outages based on fault chain, in which stochastic power flow is introduced to simulate cascading failures in power grid. The system blackout risk index is calculated by synthesizing results in different wind power scenarios generated by fuzzy clustering method. Case studies on the improved IEEE 39-bus system verify the rationality of the proposed model and analyze the impacts of wind power forecasting error on the risk of power grid cascading outages. © 2018 IEEE.

关键词： Wind power

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Flexibility Optimal dispatching for power system Considering Demand Response

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IOP Conference Series: Earth and Environmental Science 2021年第1期838卷

作者： Jinye Yang Yongji Cao Hengxu Zhang Xiaoming Liu Zhenhua Yuan Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan China Economic and Technological Research Institute of State Grid Shandong electric power company Jinan China

With the increasing penetration of renewable energy sources such as wind and solar power, higher requirements of flexible supply ability for power systems are put forward. In this context, an optimal dispatching method considering two types of demand response is proposed to improve power system flexibility. On the demand side, both the time-of-use (TOU) price and interruptible load are used to guide consumers to actively optimize the load curve, so as to relieve the pressure of the flexible supply of conventional units on the supply side. The demand response model consisting of TOU price and interruptible load is built. Then, taking the minimum cost as the objective function, the optimization model for power system dispatching is solved. Finally, the modified IEEE 30 bus system is taken as a case study. The results show that the consideration of two-type demand response in the optimal dispatching can improve the flexibility while ensuring economy, which verifies the effectiveness of the proposed method.

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Energy and reserve scheduling for active distribution system using stochastic programming

Energy and reserve scheduling for active distribution system...

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2017 IEEE power and Energy Society General Meeting, PESGM 2017

作者： Tang, Maosen Chu, Xiaodong Key Laboratory of Power System Intelligent Dispatch Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781538622124

The optimal operation of active distribution systems (ADSs) should address the issue of uncertainties caused by high penetration of renewable generation. A two-stage stochastic programming model is proposed for joint energy and reserve scheduling of ADSs with distributed generators (DGs). Reserve required is provided by upstream network, electrical energy storage (EES), and controllable loads (CLs). Soft normally open points (SNOPs) are installed in ADSs for relaxing power constraints on branches. The stochastic programming model is solved by using a convex relaxation method based on semi-definite programming (SDP). Simulation results of a 22-bus test system verify the validity of the proposed stochastic programming model and good performance of the convex relaxation method. © 2017 IEEE.

关键词： Stochastic programming

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Hierarchical and distributed optimal dispatch for coupled transmission and distribution systems considering wind power uncertainty 2

Hierarchical and distributed optimal dispatch for coupled tr...

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2nd IEEE International Conference on Energy Internet, ICEI 2018

作者： Zhang, Xu Wang, Hongtao Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781538641316

This paper propose a hierarchical and distributed coordinated optimal dispatch strategy for coupled transmission and active distribution networks considering wind power uncertainty, which divide the system operation into transmission dispatching level, distribution dispatching level and local dispatching level. The transmission level sub-problem is formulated as energy and reserve dispatch model based on improved interval approach to account for wind power uncertainty. Located in distribution system, the local level jointly optimize the renewable distribution generation (R-DG) and energy storage system (ESS), for balancing the output fluctuation of R-DG. The results are reported to upper level directly, so the distribution level sub-problem is formulated as dynamic economic dispatch model. Based on it, an analytical target cascading (ATC) based iterative solution method is applied to find an optimal strategy, where transmission and distribution system independently dispatch their resources as well as satisfying operation constraints of whole system. Finally, the effectiveness of the proposed dispatch strategy is validated through test case. © 2018 IEEE.

关键词： Wind power

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Optimal Day-Ahead Scheduling in AC/DC Hybrid Distribution Networks based on SOCP

Optimal Day-Ahead Scheduling in AC/DC Hybrid Distribution Ne...

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IEEE PES Asia-Pacific power and Energy Engineering Conference (APPEEC)

作者： Wei Sun Wen Zhang Tingting Zhang Yaxin Du Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Shandong University Jinan China

DC distribution systems, which can improve the accommodation of renewable energy sources and DC loads, have developed rapidly, leading to the appearance of hybrid AC/DC distribution systems. This paper proposes an optimal day-ahead scheduling model to increase the economy of the system operation considering the high penetration and uncertainty of the distributed generations. The proposed model aims to minimize the active power loss and electricity purchasing cost by coordinating active or reactive power outputs of voltage source converter (VSC), energy storage system (ESS) and static var compensation (SVC), as well as the voltage regulation capability of OLTC. Besides, the load model has been carefully analysed to implement conservation voltage reduction (CVR). In addition, VSC is detailed modelled to capture the coupling between active power and reactive power. Moreover, the second-order cone programming (SOCP) is used in this paper to transform the mixed integer nonlinear programming problem to a convex optimization one, which shortens the solving time. The IEEE 33-bus test system is employed to demonstrate the effectiveness and efficiency of the proposed method.

关键词： Mathematical model Load modeling Reactive power Distribution networks Induction motors Renewable energy sources Static VAr compensators

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